Bibliographic record
Abstract
Theatre has always has a fascination with death and ghosts. The temporal underpinnings of these phenomena, however, have not been examined. In this presentation, I explore the concept of “haunted time,” a temporality in which spectres of a mental and/or physical nature haunt the temporal experiences of the living characters on stage. Haunted time in music theatre can be represented both in its physical and psychological manifestations, and is often aided by two particular musical techniques: the glissando, and the use of atonal music—both resulting in a lack of tonal grounding to displace the listener-viewer’s sense of linearity. Drawing on research in hauntology, temporality, philosophy and musicology, this presentation will explore the spectrum of mental and physical hauntological manifestations on the stage by exploring the ghosts and spectres present in three distinct music theatre productions: Ghost: The Musical, Jekyll & Hyde, and Next to Normal. In Ghost: the Musical, Sam is a physical embodiment of haunted time, existing in a state of neither living nor death, defying the ontological binary. In Jekyll & Hyde, the duality of Jekyll and Hyde is a non- physical manifestation of haunted time, represented through the struggle between good and evil. In Next to Normal, Gabe is a physical manifestation of the mental affection of Diana, a representation of how she is haunted by the past living in her present. In all three cases, I will examine the distinct temporal shifts that signal the presence of haunted time.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".